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deberta-base-newsqa – AI Model by stevemobs | AlphaNeural AI
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deberta-base-newsqa
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transformers
pytorch
tensorboard
deberta
question-answering
generated_from_trainer
mit
endpoints_compatible
us
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deberta-base-newsqa
This model is a fine-tuned version of
microsoft/deberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7628
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 12
eval_batch_size: 12
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
0.6847
1.0
17307
0.7396
0.4916
2.0
34614
0.7628
Framework versions
Transformers 4.18.0
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1
